Photos | Nightlife Pulse: Coachella 2024, Weekend 2

Vibrant scenes from Coachella 2024 amid palm silhouettes and colorful lights, capturing the essence of festival nightlife.
Full Description:
This photograph, taken on the night of April 20, 2024, during the second weekend of Coachella, encapsulates the dynamic atmosphere of the festival under the dark night sky. The image features a lively crowd immersed in the experience, with individuals walking around and enjoying the festive environment. The photograph showcases the mixed illumination from nearby stalls like 'Afters' and 'Roman', which contrast strikingly against the silhouetted palm trees. The variance in lighting creates a vivid tableau that highlights the music, culture, and fashion omnipresent at such an iconic event. Each person, whether they are casually strolling or posing for a picture, adds to the narrative of community and celebration that Coachella is famous for.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
64000
metering mode
5
aperture
f/3.2
focal length
24mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
date
2024-04-20T20:13:15.930000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(31.37%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.58%)
failure
(-1.54%)
harmonious color
(5.96%)
immersiveness
(0.59%)
interaction
(1.00%)
interesting subject
(-54.74%)
intrusive object presence
(-3.03%)
lively color
(-38.11%)
low light
(99.80%)
noise
(-6.93%)
pleasant camera tilt
(-10.07%)
pleasant composition
(-83.98%)
pleasant lighting
(-57.91%)
pleasant pattern
(3.37%)
pleasant perspective
(-9.34%)
pleasant post processing
(8.12%)
pleasant reflection
(5.84%)
pleasant symmetry
(0.32%)
sharply focused subject
(0.17%)
tastefully blurred
(-24.93%)
well chosen subject
(-2.29%)
well framed subject
(-58.79%)
well timed shot
(-3.24%)
all
(-9.63%)
* WARNING: The title and caption of this image were generated by an AI LLM (gpt-4-turbo-2024-04-09
from
OpenAI)
using OpenAI's Vision functionality
, tags,
location,
people
and album metadata from the image and are
potentially inaccurate, often hilariously so. If you'd like me to adjust anything,
just reach out.